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Heart failure (HF) is a complex syndrome that requires tailored and patient-centered treatment. Sodium-glucose cotransporter 2 inhibitors (SGLT2is) constitute one of the four pillars of the medical treatment of HF. However, the 2023 ESC guidelines treat HF as a single entity without making clear distinctions in phenotypes according to etiology. This creates a "gap in knowledge", causing much debate about the applicability of these drugs in peculiar clinical settings that are etiological and/or predisposing clinical conditions for HF. Furthermore, considering the variety of etiologies and different pathophysiological backgrounds of HF, one might question whether the use of SGLT2is is equally beneficial in all types of HF and whether certain drug-related properties may be exploited in different contexts. For example, SGLT2is can improve the metabolic and inflammatory state, which is fundamental in ischemic heart disease. Anti-inflammatory power can also play a paramount role in myocarditis or cardiotoxicity, while improving the congestive state and reducing filling pressure may be even more fundamental in restrictive heart disease or advanced heart disease. This review aims to gather the evidence currently present in the literature concerning the advantages or the disadvantages of using these drugs in these particular clinical settings, with the goal being an optimized and highly personalized treatment for HF. [ABSTRACT FROM AUTHOR]

Aims: The multi‐systemic effects of heart failure (HF) resemble the spread observed during cancer. We propose a new score, named HLM, analogous to the TNM classification used in oncology, to assess the prognosis of HF. HLM refers to H: heart damage, L: lung involvement, and M: systemic multiorgan involvement. The aim was to compare the HLM score to the conventional New York Heart Association (NYHA) classification, American College of Cardiology/American Heart Association (ACC/AHA) stages, and left ventricular ejection fraction (LVEF), to assess the most accurate prognostic tool for HF patients. Methods and results: We performed a multicentre, observational, prospective study of consecutive patients admitted for HF. Heart, lung, and other organ function parameters were collected. Each patient was classified according to the HLM score, NYHA classification, ACC/AHA stages, and LVEF assessed by transthoracic echocardiography. The follow‐up period was 12 months. The primary endpoint was a composite of all‐cause death and rehospitalization due to HF. A total of 1720 patients who completed the 12 month follow‐up period have been enrolled in the study. 520 (30.2%) patients experienced the composite endpoint of all‐cause death and rehospitalization due to HF. 540 (31.4%) patients were female. The mean age of the study population was 70.5 ± 12.9. The mean LVEF at admission was 42.5 ± 13%. Regarding the population distribution across the spectrum of HLM score stages, 373 (21.7%) patients were included in the HLM‐1, 507 (29.5%) in the HLM‐2, 587 (34.1%) in the HLM‐3, and 253 (14.7%) in the HLM‐4. HLM was the most accurate score to predict the primary endpoint at 12 months. The area under the receiver operating characteristic curve (AUC) was greater for the HLM score compared with the NYHA classification, ACC/AHA stages, or LVEF, regarding the composite endpoint (HLM = 0.645; NYHA = 0.580; ACC/AHA = 0.589; LVEF = 0.572). The AUC of the HLM score was significantly better compared with the LVEF (P = 0.002), ACC/AHA (P = 0.029), and NYHA (P = 0.009) AUC. Conclusions: The HLM score has a greater prognostic power compared with the NYHA classification, ACC/AHA stages, and LVEF assessed by transthoracic echocardiography in terms of the composite endpoint of all‐cause death and rehospitalization due to HF at 12 months of follow‐up. [ABSTRACT FROM AUTHOR]

Transcatheter aortic valve implantation (TAVI) is the main treatment option for patients with severe aortic stenosis (AS) and older age. Improved imaging techniques have enabled better patient selection, and the main role is played by echocardiography. Methods more sensitive than LVEF in assessing cardiac function, such as global longitudinal strain (GLS) and myocardial work (MW), have become widespread, and other methods, like hemodynamic forces (HDFs), might be promising. The aim of this paper is to systematically review the parameters of GLS, MW, and HDF as predictors of reverse remodeling and their association with outcomes in patients with AS undergoing TAVI. In particular, the focus will be on the examination of the influence of TAVI on left atrial and ventricular function and right ventricular function., (© 2025 Wiley Periodicals LLC.)